Blerta Abazi Chaushi, Zamir Dika and Agron Chaushi
Enterprise Resource Planning (ERP) systems are used by universities to handle the academic services and business processes while providing enhanced experience and services to students. This study begins with a background review of ERPs in higher education institutions, the impact on the business processes through optimization and the importance of critical success factors for easier implementation. Secondly, Academic Planning, a core part of the student module of ERPs for higher education, is analyzed in this paper from the prism of data integration, business process workflow, and process optimization. The issues that arise with development of a module are addressed through a case study at SEE-University. The data and business process workflows are based on an actual study by real implementation at this institution. The findings from this study will serve other universities who are in the process of implementation of an ERP to ease their development process and improve the efficiency of the services provided. Main contribution of this study is that it reduces the gap in literature and practice for issues and solutions that arise with the development of a new system, especially in higher education institutions, which in turn are very scarce in nature.
Agron Chaushi, Blerta Abazi Chaushi and Florije Ismaili
Many governments in the world have created e-government initiatives including developed and developing countries. In order to better understand e-government evolution, different maturity models have been developed by many authors. In this paper the most cited e-government maturity models are analyzed using the meta-synthesis approach. As a result, five stages of e-government maturity are identified. The comparative results show the supported stages by each e-government initiative as important elements in the decision making process. This paper is attempting to show that although there are many models for measuring e-government maturity, they all converge on one common model. The contribution of this paper is in simplifying work for researchers when choosing the right maturity model.